Figure 1

(a) $M(K^{+}{K}^{-})$ distribution for the ${\mathrm{LD}}_2$ runs. (b) $\mathit{MM}(\mathrm{<ruby><rb>\gamma </rb><rt>がんま</rt></ruby>},K^{+}{K}^{-})$ distribution for the ${\mathrm{LH}}_2$ runs. (c) $\mathit{MM}(\mathrm{<ruby><rb>\gamma </rb><rt>がんま</rt></ruby>},K^{+}{K}^{-})$ distribution for the ${\mathrm{LD}}_2$ runs. (d) ${\mathit{MM}}_d(\mathrm{<ruby><rb>\gamma </rb><rt>がんま</rt></ruby>},K^{+}{K}^{-})$ distribution for the ${\mathrm{LD}}_2$ runs.Reuse & Permissions

Figure 2

(a) $p_{min}$ distribution for the selected $K^{+}{K}^{-}$events. (b) 2D plot of $p_F$ vs. $p_{min}$ for nonresonant $K^{+}{K}^{-}$ MC events.Reuse & Permissions

Figure 3

$\mathit{MM}(\mathrm{<ruby><rb>\gamma </rb><rt>がんま</rt></ruby>},K^{+}{K}^{-})$ (left) and ${\mathit{MM}}_d(\mathrm{<ruby><rb>\gamma </rb><rt>がんま</rt></ruby>},K^{+}{K}^{-})$ (right) distributions for events with $\left|p_{min}\right|<0.1$ GeV/$c$.Reuse & Permissions

Figure 4

$p_{min}$ distributions for events with 2.0 GeV $<E_{\mathrm{<ruby><rb>\gamma </rb><rt>がんま</rt></ruby>}}^{\mathrm{eff}}<2.5$ GeV for real data (left) and Monte Carlo data (right).Reuse & Permissions

Figure 5

2D plots of $p_{min}$ vs. $\mathit{MM}(\mathrm{<ruby><rb>\gamma </rb><rt>がんま</rt></ruby>},K^{-})$ for simulated signal (${<ruby><rb>\Theta </rb><rt>しーた</rt></ruby>}^{+}$) events (left) and nonresonant $K^{+}{K}^{-}$ events (right).Reuse & Permissions

Figure 6

(a) $\mathrm{<ruby><rb>\Delta </rb><rt>でるた</rt></ruby>}M=M({\mathit{nK}}^{+})-\mathit{MM}(\mathrm{<ruby><rb>\gamma </rb><rt>がんま</rt></ruby>},K^{-})$ vs. $p_{min}$ with a fit to a second-order polynomial function (solid curve). (b) $M({\mathit{nK}}^{+})$ (solid histogram) and $\mathit{MM}(\mathrm{<ruby><rb>\gamma </rb><rt>がんま</rt></ruby>},K^{-})+\mathrm{<ruby><rb>\Delta </rb><rt>でるた</rt></ruby>}{M}^{\text{'}}$ (dashed histogram) distributions for the signal Monte Carlo events. The dotted histogram is $\mathit{MM}(\mathrm{<ruby><rb>\gamma </rb><rt>がんま</rt></ruby>},K^{-})$. (c) 2D plot of $p_{min}$ vs. $\mathit{MM}(\mathrm{<ruby><rb>\gamma </rb><rt>がんま</rt></ruby>},K^{-})$ for $K^{+}{K}^{-}$ events for ${\mathrm{LD}}_2$ runs. The mean and $\pm 1\mathrm{<ruby><rb>\sigma </rb><rt>しぐま</rt></ruby>}$ are indicated by solid and dashed lines, respectively.Reuse & Permissions

Figure 7

(a) RMM spectrum for $M({\mathit{nK}}^{+})$ distribution generated from the signal MC events (solid line) and from nonresonant $K^{+}{K}^{-}$ events with 1.50 GeV/$c^2<M({\mathit{nK}}^{+})<1.55$ GeV/$c^2$. (b) $M({\mathit{nK}}^{+})$ distribution for $\varphi$ events and a fit to the RMM spectra with one seed set (dashed line) and three seed sets (solid line). (c) $M({\mathit{nK}}^{+})$ distribution for the sum of nonresonant $K^{+}{K}^{-}$ MC events and ${<ruby><rb>\Theta </rb><rt>しーた</rt></ruby>}^{+}$ MC events and a fit (solid curve) to a mass distribution consisting of RMM distributions with three seed regions: (I), (II), and (III). Contributions from each seed region is indicated by a dashed histogram. (d) (a) $M({\mathit{nK}}^{+})$ distribution (closed circle) for the MC events with a fit to a distribution consisting of RMM spectra and a Gaussian function (solid line). The dotted line is the background contribution (the sum of the RMM spectra with fitted weight parameters). $M({\mathit{nK}}^{+})$ distribution for nonresonant $K^{+}{K}^{-}$ events (open circle).Reuse & Permissions

Figure 8

(a) 2D plot of $M(K^{+}{K}^{-})$ vs. $E_{\mathrm{<ruby><rb>\gamma </rb><rt>がんま</rt></ruby>}}^{\mathrm{eff}}$ and the cut boundary of the ϕ exclusion cut (solid line). (b) Acceptances of the ϕ exclusions cuts: the energy-dependent cut (closed circle) and the constant cut of $M_{\mathit{KK}}>1.04$ GeV/$c^2$ (open circle). (c) $M({\mathit{nK}}^{+})$ distributions for nonresonant $K^{+}{K}^{-}$ events before the ϕ exclusion cut (solid histogram) and after the cut (dashed histogram).Reuse & Permissions

Figure 9

The Dalitz plots of $M^2({\mathit{pK}}^{-})$ vs. $M^2(K^{+}{K}^{-})$ before (left) and after (right) the ϕ exclusion cut.Reuse & Permissions

Figure 10

(a) $M({\mathit{pK}}^{-})$ distribution with a fit to the RMM background spectrum only (dashed line) and with a Gaussian function (solid line). The dotted line is the background. (b) $\mathit{MM}(\mathrm{<ruby><rb>\gamma </rb><rt>がんま</rt></ruby>},K^{+})$ (closed circle) and $\mathit{MM}(\mathrm{<ruby><rb>\gamma </rb><rt>がんま</rt></ruby>},K^{-})$ distributions for the ${\mathrm{LH}}_2$ runs.Reuse & Permissions

Figure 11

The Dalitz plots of $M^2({\mathit{nK}}^{+})$ vs. $M^2(K^{+}{K}^{-})$ before (left) and after (right) the $\varphi$ exclusion cut.Reuse & Permissions

Figure 12

(a) $M({\mathit{nK}}^{+})$ distribution with a fit to the RMM background spectrum only (dashed line) and with a Gaussian function (solid line). The dotted line is the background. (b) Dalitz plot of $M^2({\mathit{nK}}^{+})$ vs. $M^2({\mathit{pK}}^{-})$.Reuse & Permissions

Figure 13

(a) $M({\mathit{nK}}^{+})$ distribution for events with $M({\mathit{pK}}^{-})>1.55$ GeV/$c^2$. A fit to the RMM background spectrum only (dashed line) and with a Gaussian function (solid line) in the region below 1.65 GeV/$c^2$. The dotted line is the background. (b) The background spectra for the best fits to RMM spectra with the wide signal region (dashed line), the narrow region (dotted line), and the default region (solid line).Reuse & Permissions

Figure 14

Comparison of the fits with the RMM distributions (solid line) and a second-order polynomial functions (dashed line): (a) in the region of 1.43 GeV/$c^2<M({\mathit{nK}}^{+})<$ 1.65 GeV/$c^2$ without the ${<ruby><rb>\Theta </rb><rt>しーた</rt></ruby>}^{+}$ contribution; (b) with the ${<ruby><rb>\Theta </rb><rt>しーた</rt></ruby>}^{+}$ contribution; (c) in the region of 1.47 GeV/$c^2<M({\mathit{nK}}^{+})<1.65$ GeV/$c^2$ without the ${<ruby><rb>\Theta </rb><rt>しーた</rt></ruby>}^{+}$ contribution; (d) with the ${<ruby><rb>\Theta </rb><rt>しーた</rt></ruby>}^{+}$ contribution.Reuse & Permissions

Figure 15

$\mathit{MM}(\mathrm{<ruby><rb>\gamma </rb><rt>がんま</rt></ruby>},K^{+})$ (left) and $\mathit{MM}(\mathrm{<ruby><rb>\gamma </rb><rt>がんま</rt></ruby>},K^{-})$ (right) distributions with a fit to a mass distribution consisting of reversed RMM spectra (solid line).Reuse & Permissions

Figure 16

$M({\mathit{nK}}^{+})$ (left) and $M({\mathit{pK}}^{-})$ (right) distributions for events with $M(K^{+}{K}^{-})>1.05$ GeV/$c^2$. The solid lines are fits to the RMM functions plus a Gaussian function.Reuse & Permissions